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The following example shows how you can manually resize a datafile. Originally, the file was 250MB, and the following command doubles the size of the file to 500MB. Note that you need to use the ALTER DATABASE command, not the ALTER TABLESPACE command, to resize a datafile. SQL> ALTER DATABASE DATAFILE '/finance10/oradata/data_09.dbf' RESIZE 500m; You can use the AUTOEXTEND provision when you create a tablespace or when you add datafiles to a tablespace to tell Oracle to automatically extend the size of the datafiles in the tablespace to a specified maximum. Here s the syntax for using the AUTOEXTEND feature: SQL> ALTER TABLESPACE data01 ADD DATAFILE '/finance10/oradata/data01.dbf' SIZE 200M AUTOEXTEND ON NEXT 10M MAXSIZE 1000M; SQL> In the preceding example, 10MB extents will be added to the tablespace when space is required, as specified by the AUTOEXTEND parameter. The MAXSIZE parameter limits the tablespace to 1,000MB. If you wish, you can also specify MAXSIZE UNLIMITED, in which case there is no set maximum size for this datafile and hence for the tablespace. However, you must ensure that you have enough operating system disk space to accommodate this. Oracle also offers the Resumable Space Allocation feature, which temporarily suspends operations that might otherwise fail for lack of space, and then resumes the operations after you add space to the database object. This makes the use of the AUTOEXTEND feature less attractive. The Resumable Space Allocation feature is discussed in detail in 8.

You can use the initialization parameter DB_BLOCK_CHECKSUM to force Oracle to perform check-summing, which involves the computation of checksums for every data block and its storage in the data block header When the data is read, the checksums are compared and corrupt data blocks are identified Oracle recommends that you leave the DB_BLOCK_CHECKSUM parameter at its default setting of TYPICAL (same as TRUE in previous versions) According to Oracle, using this feature in the TYPICAL mode causes only an additional 1 to 2 percent overhead In the alternative FULL mode, it causes a 4 to 5 percent overhead The DB_BLOCK_CHECKING parameter is more sophisticated, and it checks data and index blocks only when the blocks are actually changed It also detects corruption before the data blocks are marked corrupt The default for this parameter is OFF The other possible values are LOW, MEDIUM, and FULL.

Figure 3-33. Using transactions with a single receiver Using transacted deliveries like this, the subscriber would have to buffer all notifications received after a BeginTransaction, executing them only after a CommitTransaction was received. If the sender detected a failure of some kind after sending BeginTransaction but before sending CommitTransaction, it could send a RollbackTransaction, causing the subscriber to disregard the previous notifications that were part of the transaction.

Block checking may cause a 1 to 10 percent overhead; the overhead is directly linked to update and insert operations in your database Oracle recommends that you set this parameter value to FULL, if you can handle the additional overhead You can set this feature by including it in the initora file, as in this example, which sets it to LOW: DB_BLOCK_CHECKING=LOW You can also set it dynamically using the ALTER SESSION statement: SQL> ALTER SESSION SET DB_BLOCK_CHECKING=LOW; You can specify the DB_ULTRA_SAFE initialization parameter to control the values of the DB_BLOCK_ CHECKSUM and the DB_BLOCK_CHECKING initialization parameters If you leave DB_ULTRA_SAFE at its default value (OFF), the database sets the values for the two corruption-related parameters at TYPICAL, which involves minimal checks and thus a smaller CPU overhead.

If you set DB_ULTRA_SAFE to the value DATA_ONLY or DATA_AND_INDEX, the database will set the value of the two corruption-related parameters to FULL, which results in more intensive corruption checking..

You can use the ANALYZE command to catch corrupted data blocks. The following command verifies each data block in the customer table, and if it finds any corrupted blocks, it adds the suspect rows to the invalid_rows table: SQL> ANALYZE TABLE customer VALIDATE STRUCTURE; In addition to checking for block corruption, the command will make sure that the index data corresponds to the table data.

Distributed transactions, involving multiple receivers, are more complicated because you have to make sure two things happen: 1. All recipients get the intended notifications. 2. All recipients get the CommitTransaction command. Because failures could occur after giving some of the receivers the CommitTransaction command, it is necessary to use a multistage commit process. A common approach is to use a two-phase commit process. Assume a sender needs to send notifications as part of a single transaction to three receivers, as shown back in Figure 3-32. All multistage commit approaches require the presence of a separate process (called the transaction coordinator) to coordinate the overall transaction. The sender instructs the transaction coordinator when to start a new transaction. The sender then sends notifications to